Post-Baccalaureate Diploma - Artificial Intelligence and Machine Learning Applications (PBP)

Program Overview

Become part of a changing world and discover Nipissing University’s Post-Baccalaureate Diploma (PBD) in Artificial Intelligence and Machine Learning Applications. This program is designed for international students who already possess an undergraduate degree in computer science or a related discipline. It focuses on advanced knowledge of computational techniques and paradigms, including machine learning, artificial intelligence, and data science. Graduates will enhance their understanding of interdisciplinary professions in areas such as data analytics, high-performance computing, and game artificial intelligence.

Program Structure

The Post-Baccalaureate Diploma in Artificial Intelligence and Machine Learning Applications is a two-year program that offers a comprehensive curriculum tailored for students eager to delve into the world of AI and machine learning. The program structure includes:

• Core courses that are essential for graduation.
• Elective courses that allow students to choose based on their interests.
• Hands-on learning opportunities through co-ops, placements, and internships.

This program is designed to provide students with a robust foundation in both theoretical and practical aspects of artificial intelligence and machine learning, preparing them for a variety of career paths in the tech industry.

Featured Experiences

• Hands-on learning through co-op placements and internships.
• Access to state-of-the-art technologies and software related to data science.
• Opportunities to engage in real-world projects that enhance learning and employability.
• Collaboration with industry partners for practical experience.

Career Options

Graduates of the Post-Baccalaureate Diploma in Artificial Intelligence and Machine Learning Applications can pursue a wide variety of careers in Canada, including:

• Software Developer: Design and create software applications, ensuring they meet user needs and function effectively.
• Data Scientist: Analyze complex data sets to inform business decisions and strategies, utilizing statistical methods and machine learning techniques.
• Machine Learning Engineer: Develop algorithms and models that enable machines to learn from data and improve their performance over time.
• Game Developer: Create engaging and interactive video games, focusing on design, programming, and user experience.
• Scientific Software Engineer: Build software solutions for scientific research, ensuring accuracy and efficiency in data processing and analysis.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.